Profiling Report

Dataset statistics

Number of variables	23
Number of observations	236
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	44.2 KiB
Average record size in memory	192.0 B

Variable types

Numeric	16
Categorical	7

Alerts

`Card_Category` has constant value ""	Constant
`Customer_Age` is highly overall correlated with `Months_on_book`	High correlation
`Months_on_book` is highly overall correlated with `Customer_Age`	High correlation
`Months_Inactive_12_mon` is highly overall correlated with `Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` and 1 other fields	High correlation
`Contacts_Count_12_mon` is highly overall correlated with `Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` and 1 other fields	High correlation
`Credit_Limit` is highly overall correlated with `Avg_Open_To_Buy` and 1 other fields	High correlation
`Total_Revolving_Bal` is highly overall correlated with `Avg_Utilization_Ratio` and 1 other fields	High correlation
`Avg_Open_To_Buy` is highly overall correlated with `Credit_Limit` and 1 other fields	High correlation
`Total_Trans_Amt` is highly overall correlated with `Total_Trans_Ct`	High correlation
`Total_Trans_Ct` is highly overall correlated with `Total_Trans_Amt` and 1 other fields	High correlation
`Avg_Utilization_Ratio` is highly overall correlated with `Credit_Limit` and 2 other fields	High correlation
`Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` is highly overall correlated with `Months_Inactive_12_mon` and 3 other fields	High correlation
`Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2` is highly overall correlated with `Months_Inactive_12_mon` and 3 other fields	High correlation
`Attrition_Flag` is highly overall correlated with `Total_Revolving_Bal` and 3 other fields	High correlation
`Gender` is highly overall correlated with `Income_Category`	High correlation
`Income_Category` is highly overall correlated with `Gender`	High correlation
`CLIENTNUM` has unique values	Unique
`Dependent_count` has 13 (5.5%) zeros	Zeros
`Contacts_Count_12_mon` has 12 (5.1%) zeros	Zeros

Reproduction

Analysis started	2023-11-06 07:52:26.739139
Analysis finished	2023-11-06 07:52:45.989737
Duration	19.25 seconds
Software version	ydata-profiling vv4.6.1
Download configuration	config.json

CLIENTNUM
Real number (ℝ)

UNIQUE

Distinct	236
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.3771506 × 10⁸

Minimum	7.0808696 × 10⁸
Maximum	8.2828833 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	7.0808696 × 10⁸
5-th percentile	7.0892109 × 10⁸
Q1	7.1282461 × 10⁸
median	7.1682127 × 10⁸
Q3	7.7246521 × 10⁸
95-th percentile	8.184641 × 10⁸
Maximum	8.2828833 × 10⁸
Range	1.2020138 × 10⁸
Interquartile range (IQR)	59640600

Descriptive statistics

Standard deviation	37241902
Coefficient of variation (CV)	0.050482774
Kurtosis	-0.25852112
Mean	7.3771506 × 10⁸
Median Absolute Deviation (MAD)	4938712.5
Skewness	1.1470084
Sum	1.7410075 × 10¹¹
Variance	1.3869593 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
784725333	1	0.4%
713772333	1	0.4%
772243833	1	0.4%
789095958	1	0.4%
708397008	1	0.4%
822121608	1	0.4%
779405133	1	0.4%
789907533	1	0.4%
823908858	1	0.4%
716689383	1	0.4%
Other values (226)	226	95.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
708086958	1	0.4%
708134283	1	0.4%
708334158	1	0.4%
708397008	1	0.4%
708426483	1	0.4%
708575058	1	0.4%
708597558	1	0.4%
708702258	1	0.4%
708829758	1	0.4%
708860358	1	0.4%

Value	Count	Frequency (%)
828288333	1	0.4%
827964858	1	0.4%
827901183	1	0.4%
826548708	1	0.4%
826467333	1	0.4%
823928058	1	0.4%
823908858	1	0.4%
823621083	1	0.4%
822121608	1	0.4%
821759658	1	0.4%

Attrition_Flag
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

Existing Customer	186
Attrited Customer	50

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	4012
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Existing Customer
2nd row	Existing Customer
3rd row	Existing Customer
4th row	Existing Customer
5th row	Existing Customer

Common Values

Value	Count	Frequency (%)
Existing Customer	186	78.8%
Attrited Customer	50	21.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
customer	236	50.0%
existing	186	39.4%
attrited	50	10.6%

Most occurring characters

Value	Count	Frequency (%)
t	572	14.3%
i	422	10.5%
s	422	10.5%
e	286	7.1%
r	286	7.1%
	236	5.9%
C	236	5.9%
u	236	5.9%
o	236	5.9%
m	236	5.9%
Other values (6)	844	21.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3304	82.4%
Uppercase Letter	472	11.8%
Space Separator	236	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	572	17.3%
i	422	12.8%
s	422	12.8%
e	286	8.7%
r	286	8.7%
u	236	7.1%
o	236	7.1%
m	236	7.1%
x	186	5.6%
n	186	5.6%
Other values (2)	236	7.1%

Uppercase Letter

Value	Count	Frequency (%)
C	236	50.0%
E	186	39.4%
A	50	10.6%

Space Separator

Value	Count	Frequency (%)
	236	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3776	94.1%
Common	236	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	572	15.1%
i	422	11.2%
s	422	11.2%
e	286	7.6%
r	286	7.6%
C	236	6.2%
u	236	6.2%
o	236	6.2%
m	236	6.2%
E	186	4.9%
Other values (5)	658	17.4%

Common

Value	Count	Frequency (%)
	236	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4012	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	572	14.3%
i	422	10.5%
s	422	10.5%
e	286	7.1%
r	286	7.1%
	236	5.9%
C	236	5.9%
u	236	5.9%
o	236	5.9%
m	236	5.9%
Other values (6)	844	21.0%

Customer_Age
Real number (ℝ)

HIGH CORRELATION

Distinct	30
Distinct (%)	12.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.915254

Minimum	29
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	29
5-th percentile	35
Q1	42
median	47.5
Q3	51
95-th percentile	57.25
Maximum	60
Range	31
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.803724
Coefficient of variation (CV)	0.14502157
Kurtosis	-0.51037152
Mean	46.915254
Median Absolute Deviation (MAD)	4.5
Skewness	-0.24171156
Sum	11072
Variance	46.29066
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
51	18	7.6%
45	17	7.2%
48	16	6.8%
49	14	5.9%
54	12	5.1%
50	12	5.1%
42	12	5.1%
47	11	4.7%
46	11	4.7%
56	9	3.8%
Other values (20)	104	44.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
29	1	0.4%
30	1	0.4%
31	2	0.8%
34	5	2.1%
35	6	2.5%
36	2	0.8%
37	8	3.4%
38	7	3.0%
39	7	3.0%
40	5	2.1%

Value	Count	Frequency (%)
60	2	0.8%
59	8	3.4%
58	2	0.8%
57	6	2.5%
56	9	3.8%
55	7	3.0%
54	12	5.1%
53	5	2.1%
52	7	3.0%
51	18	7.6%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

F	127
M	109

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	236
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	F
3rd row	F
4th row	M
5th row	F

Common Values

Value	Count	Frequency (%)
F	127	53.8%
M	109	46.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	127	53.8%
m	109	46.2%

Most occurring characters

Value	Count	Frequency (%)
F	127	53.8%
M	109	46.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	236	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	127	53.8%
M	109	46.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	236	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	127	53.8%
M	109	46.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	236	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	127	53.8%
M	109	46.2%

Dependent_count
Real number (ℝ)

ZEROS

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4872881

Minimum	0
Maximum	5
Zeros	13
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1867385
Coefficient of variation (CV)	0.47712146
Kurtosis	-0.24529301
Mean	2.4872881
Median Absolute Deviation (MAD)	1
Skewness	-0.061956383
Sum	587
Variance	1.4083484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	79	33.5%
2	69	29.2%
1	33	14.0%
4	31	13.1%
0	13	5.5%
5	11	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	5.5%
1	33	14.0%
2	69	29.2%
3	79	33.5%
4	31	13.1%
5	11	4.7%

Value	Count	Frequency (%)
5	11	4.7%
4	31	13.1%
3	79	33.5%
2	69	29.2%
1	33	14.0%
0	13	5.5%

Education_Level
Categorical

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

Graduate	86
High School	47
Uneducated	39
Unknown	27
College	21

Length

Max length	11
Median length	10
Mean length	8.7923729
Min length	7

Characters and Unicode

Total characters	2075
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High School
2nd row	Graduate
3rd row	Graduate
4th row	Doctorate
5th row	Uneducated

Common Values

Value	Count	Frequency (%)
Graduate	86	36.4%
High School	47	19.9%
Uneducated	39	16.5%
Unknown	27	11.4%
College	21	8.9%
Doctorate	16	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduate	86	30.4%
high	47	16.6%
school	47	16.6%
uneducated	39	13.8%
unknown	27	9.5%
college	21	7.4%
doctorate	16	5.7%

Most occurring characters

Value	Count	Frequency (%)
a	227	10.9%
e	222	10.7%
o	174	8.4%
d	164	7.9%
t	157	7.6%
u	125	6.0%
n	120	5.8%
r	102	4.9%
c	102	4.9%
h	94	4.5%
Other values (12)	588	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1745	84.1%
Uppercase Letter	283	13.6%
Space Separator	47	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	227	13.0%
e	222	12.7%
o	174	10.0%
d	164	9.4%
t	157	9.0%
u	125	7.2%
n	120	6.9%
r	102	5.8%
c	102	5.8%
h	94	5.4%
Other values (5)	258	14.8%

Uppercase Letter

Value	Count	Frequency (%)
G	86	30.4%
U	66	23.3%
S	47	16.6%
H	47	16.6%
C	21	7.4%
D	16	5.7%

Space Separator

Value	Count	Frequency (%)
	47	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2028	97.7%
Common	47	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	227	11.2%
e	222	10.9%
o	174	8.6%
d	164	8.1%
t	157	7.7%
u	125	6.2%
n	120	5.9%
r	102	5.0%
c	102	5.0%
h	94	4.6%
Other values (11)	541	26.7%

Common

Value	Count	Frequency (%)
	47	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2075	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	227	10.9%
e	222	10.7%
o	174	8.4%
d	164	7.9%
t	157	7.6%
u	125	6.0%
n	120	5.8%
r	102	4.9%
c	102	4.9%
h	94	4.5%
Other values (12)	588	28.3%

Marital_Status
Categorical

Distinct	4
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

Married	109
Single	94
Unknown	19
Divorced	14

Length

Max length	8
Median length	7
Mean length	6.6610169
Min length	6

Characters and Unicode

Total characters	1572
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Unknown
3rd row	Married
4th row	Single
5th row	Married

Common Values

Value	Count	Frequency (%)
Married	109	46.2%
Single	94	39.8%
Unknown	19	8.1%
Divorced	14	5.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	109	46.2%
single	94	39.8%
unknown	19	8.1%
divorced	14	5.9%

Most occurring characters

Value	Count	Frequency (%)
r	232	14.8%
i	217	13.8%
e	217	13.8%
n	151	9.6%
d	123	7.8%
M	109	6.9%
a	109	6.9%
l	94	6.0%
g	94	6.0%
S	94	6.0%
Other values (7)	132	8.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1336	85.0%
Uppercase Letter	236	15.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	232	17.4%
i	217	16.2%
e	217	16.2%
n	151	11.3%
d	123	9.2%
a	109	8.2%
l	94	7.0%
g	94	7.0%
o	33	2.5%
k	19	1.4%
Other values (3)	47	3.5%

Uppercase Letter

Value	Count	Frequency (%)
M	109	46.2%
S	94	39.8%
U	19	8.1%
D	14	5.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1572	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	232	14.8%
i	217	13.8%
e	217	13.8%
n	151	9.6%
d	123	7.8%
M	109	6.9%
a	109	6.9%
l	94	6.0%
g	94	6.0%
S	94	6.0%
Other values (7)	132	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1572	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	232	14.8%
i	217	13.8%
e	217	13.8%
n	151	9.6%
d	123	7.8%
M	109	6.9%
a	109	6.9%
l	94	6.0%
g	94	6.0%
S	94	6.0%
Other values (7)	132	8.4%

Income_Category
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

Less than $40K	76
$40K - $60K	47
$60K - $80K	39
Unknown	34
$80K - $120K	26

Length

Max length	14
Median length	12
Mean length	11.262712
Min length	7

Characters and Unicode

Total characters	2658
Distinct characters	22
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$40K - $60K
2nd row	$40K - $60K
3rd row	Unknown
4th row	Less than $40K
5th row	$40K - $60K

Common Values

Value	Count	Frequency (%)
Less than $40K	76	32.2%
$40K - $60K	47	19.9%
$60K - $80K	39	16.5%
Unknown	34	14.4%
$80K - $120K	26	11.0%
$120K +	14	5.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	126	20.1%
40k	123	19.6%
60k	86	13.7%
less	76	12.1%
than	76	12.1%
80k	65	10.4%
120k	40	6.4%
unknown	34	5.4%

Most occurring characters

Value	Count	Frequency (%)
	390	14.7%
K	314	11.8%
0	314	11.8%
$	314	11.8%
n	178	6.7%
s	152	5.7%
4	123	4.6%
-	112	4.2%
6	86	3.2%
e	76	2.9%
Other values (12)	599	22.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	736	27.7%
Decimal Number	668	25.1%
Uppercase Letter	424	16.0%
Space Separator	390	14.7%
Currency Symbol	314	11.8%
Dash Punctuation	112	4.2%
Math Symbol	14	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	178	24.2%
s	152	20.7%
e	76	10.3%
a	76	10.3%
h	76	10.3%
t	76	10.3%
k	34	4.6%
o	34	4.6%
w	34	4.6%

Decimal Number

Value	Count	Frequency (%)
0	314	47.0%
4	123	18.4%
6	86	12.9%
8	65	9.7%
1	40	6.0%
2	40	6.0%

Uppercase Letter

Value	Count	Frequency (%)
K	314	74.1%
L	76	17.9%
U	34	8.0%

Space Separator

Value	Count	Frequency (%)
	390	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	314	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	112	100.0%

Math Symbol

Value	Count	Frequency (%)
+	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1498	56.4%
Latin	1160	43.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	314	27.1%
n	178	15.3%
s	152	13.1%
e	76	6.6%
L	76	6.6%
a	76	6.6%
h	76	6.6%
t	76	6.6%
U	34	2.9%
k	34	2.9%
Other values (2)	68	5.9%

Common

Value	Count	Frequency (%)
	390	26.0%
0	314	21.0%
$	314	21.0%
4	123	8.2%
-	112	7.5%
6	86	5.7%
8	65	4.3%
1	40	2.7%
2	40	2.7%
+	14	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2658	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	390	14.7%
K	314	11.8%
0	314	11.8%
$	314	11.8%
n	178	6.7%
s	152	5.7%
4	123	4.6%
-	112	4.2%
6	86	3.2%
e	76	2.9%
Other values (12)	599	22.5%

Card_Category
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

Blue	236

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	944
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Blue
2nd row	Blue
3rd row	Blue
4th row	Blue
5th row	Blue

Common Values

Value	Count	Frequency (%)
Blue	236	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
blue	236	100.0%

Most occurring characters

Value	Count	Frequency (%)
B	236	25.0%
l	236	25.0%
u	236	25.0%
e	236	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	708	75.0%
Uppercase Letter	236	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	236	33.3%
u	236	33.3%
e	236	33.3%

Uppercase Letter

Value	Count	Frequency (%)
B	236	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	944	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	236	25.0%
l	236	25.0%
u	236	25.0%
e	236	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	944	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	236	25.0%
l	236	25.0%
u	236	25.0%
e	236	25.0%

Months_on_book
Real number (ℝ)

HIGH CORRELATION

Distinct	36
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.254237

Minimum	13
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	13
5-th percentile	23
Q1	32
median	36
Q3	41
95-th percentile	48
Maximum	54
Range	41
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.2595486
Coefficient of variation (CV)	0.20024
Kurtosis	0.19787446
Mean	36.254237
Median Absolute Deviation (MAD)	4
Skewness	-0.20608805
Sum	8556
Variance	52.701046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
36	55	23.3%
40	11	4.7%
39	11	4.7%
41	11	4.7%
35	10	4.2%
46	10	4.2%
37	9	3.8%
43	9	3.8%
28	8	3.4%
32	7	3.0%
Other values (26)	95	40.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	0.4%
19	3	1.3%
20	2	0.8%
22	5	2.1%
23	3	1.3%
24	1	0.4%
25	3	1.3%
26	6	2.5%
27	5	2.1%
28	8	3.4%

Value	Count	Frequency (%)
54	1	0.4%
53	2	0.8%
52	1	0.4%
51	1	0.4%
50	2	0.8%
49	4	1.7%
48	2	0.8%
47	7	3.0%
46	10	4.2%
45	3	1.3%

Total_Relationship_Count
Categorical

Distinct	3
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

3	100
4	77
2	59

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	236
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	4
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
3	100	42.4%
4	77	32.6%
2	59	25.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	100	42.4%
4	77	32.6%
2	59	25.0%

Most occurring characters

Value	Count	Frequency (%)
3	100	42.4%
4	77	32.6%
2	59	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	236	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	100	42.4%
4	77	32.6%
2	59	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	236	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	100	42.4%
4	77	32.6%
2	59	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	236	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	100	42.4%
4	77	32.6%
2	59	25.0%

Months_Inactive_12_mon
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4491525

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0766177
Coefficient of variation (CV)	0.43958785
Kurtosis	1.6293992
Mean	2.4491525
Median Absolute Deviation (MAD)	1
Skewness	0.8652136
Sum	578
Variance	1.1591057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	96	40.7%
2	73	30.9%
1	47	19.9%
4	9	3.8%
6	6	2.5%
5	5	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	47	19.9%
2	73	30.9%
3	96	40.7%
4	9	3.8%
5	5	2.1%
6	6	2.5%

Value	Count	Frequency (%)
6	6	2.5%
5	5	2.1%
4	9	3.8%
3	96	40.7%
2	73	30.9%
1	47	19.9%

Contacts_Count_12_mon
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4915254

Minimum	0
Maximum	5
Zeros	12
Zeros (%)	5.1%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0.75
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0895696
Coefficient of variation (CV)	0.43731025
Kurtosis	-0.1872477
Mean	2.4915254
Median Absolute Deviation (MAD)	1
Skewness	-0.39618076
Sum	588
Variance	1.1871619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	94	39.8%
2	62	26.3%
4	34	14.4%
1	31	13.1%
0	12	5.1%
5	3	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	5.1%
1	31	13.1%
2	62	26.3%
3	94	39.8%
4	34	14.4%
5	3	1.3%

Value	Count	Frequency (%)
5	3	1.3%
4	34	14.4%
3	94	39.8%
2	62	26.3%
1	31	13.1%
0	12	5.1%

Credit_Limit
Real number (ℝ)

HIGH CORRELATION

Distinct	233
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5730.9831

Minimum	3022
Maximum	9959
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	3022
5-th percentile	3137.75
Q1	3854.5
median	5250.5
Q3	7470
95-th percentile	9365.5
Maximum	9959
Range	6937
Interquartile range (IQR)	3615.5

Descriptive statistics

Standard deviation	2087.4199
Coefficient of variation (CV)	0.36423417
Kurtosis	-1.1254706
Mean	5730.9831
Median Absolute Deviation (MAD)	1656
Skewness	0.45669875
Sum	1352512
Variance	4357321.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3137	2	0.8%
9959	2	0.8%
4196	2	0.8%
4170	1	0.4%
7106	1	0.4%
8446	1	0.4%
3186	1	0.4%
7603	1	0.4%
3805	1	0.4%
7116	1	0.4%
Other values (223)	223	94.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3022	1	0.4%
3034	1	0.4%
3054	1	0.4%
3073	1	0.4%
3085	1	0.4%
3097	1	0.4%
3104	1	0.4%
3108	1	0.4%
3128	1	0.4%
3131	1	0.4%

Value	Count	Frequency (%)
9959	2	0.8%
9863	1	0.4%
9749	1	0.4%
9705	1	0.4%
9703	1	0.4%
9595	1	0.4%
9589	1	0.4%
9546	1	0.4%
9463	1	0.4%
9457	1	0.4%

Total_Revolving_Bal
Real number (ℝ)

HIGH CORRELATION

Distinct	185
Distinct (%)	78.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	752.74576

Minimum	134
Maximum	996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	134
5-th percentile	342
Q1	659
median	778.5
Q3	906.5
95-th percentile	982.75
Maximum	996
Range	862
Interquartile range (IQR)	247.5

Descriptive statistics

Standard deviation	192.4861
Coefficient of variation (CV)	0.25571196
Kurtosis	1.156547
Mean	752.74576
Median Absolute Deviation (MAD)	125
Skewness	-1.1036054
Sum	177648
Variance	37050.897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
795	4	1.7%
622	3	1.3%
764	3	1.3%
859	3	1.3%
938	3	1.3%
710	3	1.3%
845	3	1.3%
996	2	0.8%
659	2	0.8%
847	2	0.8%
Other values (175)	208	88.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
134	1	0.4%
145	1	0.4%
157	1	0.4%
193	1	0.4%
199	1	0.4%
204	1	0.4%
211	1	0.4%
232	1	0.4%
243	1	0.4%
274	1	0.4%

Value	Count	Frequency (%)
996	2	0.8%
995	2	0.8%
994	1	0.4%
993	1	0.4%
990	1	0.4%
989	1	0.4%
986	2	0.8%
985	2	0.8%
982	1	0.4%
981	1	0.4%

Avg_Open_To_Buy
Real number (ℝ)

HIGH CORRELATION

Distinct	233
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4978.2373

Minimum	2119
Maximum	9760
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	2119
5-th percentile	2316.75
Q1	3119.75
median	4444.5
Q3	6766
95-th percentile	8636.25
Maximum	9760
Range	7641
Interquartile range (IQR)	3646.25

Descriptive statistics

Standard deviation	2102.8769
Coefficient of variation (CV)	0.42241396
Kurtosis	-1.0717561
Mean	4978.2373
Median Absolute Deviation (MAD)	1656.5
Skewness	0.45741872
Sum	1174864
Variance	4422091.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3495	2	0.8%
2776	2	0.8%
2732	2	0.8%
2980	1	0.4%
2218	1	0.4%
6859	1	0.4%
2984	1	0.4%
6423	1	0.4%
5093	1	0.4%
4383	1	0.4%
Other values (223)	223	94.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2119	1	0.4%
2127	1	0.4%
2152	1	0.4%
2178	1	0.4%
2192	1	0.4%
2201	1	0.4%
2209	1	0.4%
2218	1	0.4%
2242	1	0.4%
2263	1	0.4%

Value	Count	Frequency (%)
9760	1	0.4%
9225	1	0.4%
9177	1	0.4%
9107	1	0.4%
9086	1	0.4%
8961	1	0.4%
8959	1	0.4%
8890	1	0.4%
8855	1	0.4%
8762	1	0.4%

Total_Amt_Chng_Q4_Q1
Real number (ℝ)

Distinct	197
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.74569068

Minimum	0.304
Maximum	2.275
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0.304
5-th percentile	0.4785
Q1	0.63
median	0.7215
Q3	0.84775
95-th percentile	1.02525
Maximum	2.275
Range	1.971
Interquartile range (IQR)	0.21775

Descriptive statistics

Standard deviation	0.21151698
Coefficient of variation (CV)	0.28365244
Kurtosis	13.168707
Mean	0.74569068
Median Absolute Deviation (MAD)	0.112
Skewness	2.2960527
Sum	175.983
Variance	0.044739432
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.504	3	1.3%
0.681	3	1.3%
0.765	3	1.3%
0.731	3	1.3%
0.647	3	1.3%
0.673	3	1.3%
0.604	3	1.3%
0.958	2	0.8%
0.485	2	0.8%
0.815	2	0.8%
Other values (187)	209	88.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.304	1	0.4%
0.307	1	0.4%
0.35	1	0.4%
0.396	1	0.4%
0.417	1	0.4%
0.422	1	0.4%
0.432	1	0.4%
0.433	1	0.4%
0.446	1	0.4%
0.456	1	0.4%

Value	Count	Frequency (%)
2.275	1	0.4%
1.705	1	0.4%
1.608	1	0.4%
1.32	1	0.4%
1.193	1	0.4%
1.084	1	0.4%
1.079	1	0.4%
1.072	1	0.4%
1.057	1	0.4%
1.052	1	0.4%

Total_Trans_Amt
Real number (ℝ)

HIGH CORRELATION

Distinct	227
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4756.6525

Minimum	791
Maximum	16737
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	791
5-th percentile	1195.25
Q1	2329.25
median	3967.5
Q3	4837.5
95-th percentile	14800.5
Maximum	16737
Range	15946
Interquartile range (IQR)	2508.25

Descriptive statistics

Standard deviation	3914.1169
Coefficient of variation (CV)	0.82287216
Kurtosis	2.4703346
Mean	4756.6525
Median Absolute Deviation (MAD)	1234
Skewness	1.8491939
Sum	1122570
Variance	15320311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4077	2	0.8%
2051	2	0.8%
2781	2	0.8%
3877	2	0.8%
1193	2	0.8%
14596	2	0.8%
4828	2	0.8%
4121	2	0.8%
4399	2	0.8%
3100	1	0.4%
Other values (217)	217	91.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
791	1	0.4%
842	1	0.4%
870	1	0.4%
911	1	0.4%
931	1	0.4%
990	1	0.4%
999	1	0.4%
1002	1	0.4%
1138	1	0.4%
1165	1	0.4%

Value	Count	Frequency (%)
16737	1	0.4%
16732	1	0.4%
16179	1	0.4%
15903	1	0.4%
15865	1	0.4%
15471	1	0.4%
15443	1	0.4%
15380	1	0.4%
15352	1	0.4%
15102	1	0.4%

Total_Trans_Ct
Real number (ℝ)

HIGH CORRELATION

Distinct	90
Distinct (%)	38.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.177966

Minimum	18
Maximum	124
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	18
5-th percentile	27.75
Q1	47.75
median	70
Q3	82
95-th percentile	109
Maximum	124
Range	106
Interquartile range (IQR)	34.25

Descriptive statistics

Standard deviation	24.635256
Coefficient of variation (CV)	0.36671632
Kurtosis	-0.60437872
Mean	67.177966
Median Absolute Deviation (MAD)	17
Skewness	0.041867287
Sum	15854
Variance	606.89585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	9	3.8%
79	8	3.4%
77	8	3.4%
38	8	3.4%
88	7	3.0%
59	6	2.5%
75	6	2.5%
74	5	2.1%
70	5	2.1%
35	5	2.1%
Other values (80)	169	71.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	0.4%
21	1	0.4%
22	3	1.3%
24	3	1.3%
25	1	0.4%
26	2	0.8%
27	1	0.4%
28	4	1.7%
30	2	0.8%
31	4	1.7%

Value	Count	Frequency (%)
124	1	0.4%
123	1	0.4%
122	2	0.8%
120	2	0.8%
117	1	0.4%
116	1	0.4%
115	1	0.4%
111	1	0.4%
110	1	0.4%
109	3	1.3%

Total_Ct_Chng_Q4_Q1
Real number (ℝ)

Distinct	178
Distinct (%)	75.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.68417797

Minimum	0.097
Maximum	1.571
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0.097
5-th percentile	0.34275
Q1	0.57325
median	0.6835
Q3	0.78475
95-th percentile	1
Maximum	1.571
Range	1.474
Interquartile range (IQR)	0.2115

Descriptive statistics

Standard deviation	0.21044331
Coefficient of variation (CV)	0.30758562
Kurtosis	2.4503874
Mean	0.68417797
Median Absolute Deviation (MAD)	0.108
Skewness	0.65902102
Sum	161.466
Variance	0.044286385
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	6	2.5%
0.581	4	1.7%
0.556	4	1.7%
0.75	4	1.7%
0.727	3	1.3%
0.723	3	1.3%
0.733	3	1.3%
0.64	3	1.3%
0.722	3	1.3%
0.667	3	1.3%
Other values (168)	200	84.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.097	1	0.4%
0.2	1	0.4%
0.207	1	0.4%
0.231	1	0.4%
0.263	1	0.4%
0.273	1	0.4%
0.29	1	0.4%
0.3	1	0.4%
0.308	1	0.4%
0.31	1	0.4%

Value	Count	Frequency (%)
1.571	1	0.4%
1.5	1	0.4%
1.417	1	0.4%
1.273	1	0.4%
1.258	1	0.4%
1.2	1	0.4%
1.147	1	0.4%
1.083	2	0.8%
1.034	1	0.4%
1.025	1	0.4%

Avg_Utilization_Ratio
Real number (ℝ)

HIGH CORRELATION

Distinct	149
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.15019915

Minimum	0.016
Maximum	0.314
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0.016
5-th percentile	0.053
Q1	0.09975
median	0.144
Q3	0.189
95-th percentile	0.27625
Maximum	0.314
Range	0.298
Interquartile range (IQR)	0.08925

Descriptive statistics

Standard deviation	0.066963936
Coefficient of variation (CV)	0.44583431
Kurtosis	-0.32406737
Mean	0.15019915
Median Absolute Deviation (MAD)	0.045
Skewness	0.4569404
Sum	35.447
Variance	0.0044841687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.126	5	2.1%
0.109	5	2.1%
0.097	4	1.7%
0.216	4	1.7%
0.155	4	1.7%
0.102	4	1.7%
0.189	4	1.7%
0.158	4	1.7%
0.053	3	1.3%
0.122	3	1.3%
Other values (139)	196	83.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.016	1	0.4%
0.017	1	0.4%
0.02	2	0.8%
0.037	1	0.4%
0.039	1	0.4%
0.04	1	0.4%
0.042	1	0.4%
0.044	1	0.4%
0.05	1	0.4%
0.053	3	1.3%

Value	Count	Frequency (%)
0.314	1	0.4%
0.313	1	0.4%
0.309	1	0.4%
0.306	2	0.8%
0.304	1	0.4%
0.3	1	0.4%
0.296	1	0.4%
0.294	1	0.4%
0.279	1	0.4%
0.278	1	0.4%

Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1
Real number (ℝ)

HIGH CORRELATION

Distinct	175
Distinct (%)	74.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.21109205

Minimum	2.0889 × 10^-5
Maximum	0.99893
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	2.0889 × 10^-5
5-th percentile	4.633925 × 10^-5
Q1	0.000100661
median	0.000195395
Q3	0.00052052
95-th percentile	0.9971875
Maximum	0.99893
Range	0.99890911
Interquartile range (IQR)	0.000419859

Descriptive statistics

Standard deviation	0.40762891
Coefficient of variation (CV)	1.9310481
Kurtosis	0.01456094
Mean	0.21109205
Median Absolute Deviation (MAD)	0.000122262
Skewness	1.4193182
Sum	49.817725
Variance	0.16616133
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.00018665	6	2.5%
0.00019864	5	2.1%
0.99499	5	2.1%
3.3214 × 10^-5	4	1.7%
0.00031104	4	1.7%
0.00020424	3	1.3%
0.00017486	3	1.3%
0.00017987	3	1.3%
0.99683	3	1.3%
0.00011382	3	1.3%
Other values (165)	197	83.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.0889 × 10^-5	1	0.4%
2.1081 × 10^-5	1	0.4%
2.2331 × 10^-5	1	0.4%
3.0307 × 10^-5	1	0.4%
3.1176 × 10^-5	1	0.4%
3.3214 × 10^-5	4	1.7%
3.4833 × 10^-5	1	0.4%
4.3568 × 10^-5	2	0.8%
4.7263 × 10^-5	1	0.4%
5.0256 × 10^-5	1	0.4%

Value	Count	Frequency (%)
0.99893	1	0.4%
0.99873	1	0.4%
0.99844	1	0.4%
0.99838	1	0.4%
0.99821	1	0.4%
0.99818	1	0.4%
0.99808	1	0.4%
0.99807	1	0.4%
0.99794	1	0.4%
0.9978	1	0.4%

Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
Real number (ℝ)

HIGH CORRELATION

Distinct	87
Distinct (%)	36.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7889077

Minimum	0.00106612
Maximum	0.99998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0.00106612
5-th percentile	0.0028141125
Q1	0.99948
median	0.999805
Q3	0.9999
95-th percentile	0.9999525
Maximum	0.99998
Range	0.99891388
Interquartile range (IQR)	0.00042

Descriptive statistics

Standard deviation	0.40762891
Coefficient of variation (CV)	0.51670039
Kurtosis	0.014560951
Mean	0.7889077
Median Absolute Deviation (MAD)	0.000125
Skewness	-1.4193182
Sum	186.18222
Variance	0.16616133
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.99993	16	6.8%
0.99989	15	6.4%
0.99981	12	5.1%
0.9998	12	5.1%
0.99969	10	4.2%
0.99994	10	4.2%
0.99983	9	3.8%
0.99991	8	3.4%
0.99997	7	3.0%
0.99982	6	2.5%
Other values (77)	131	55.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.00106612	1	0.4%
0.00127462	1	0.4%
0.00155735	1	0.4%
0.00162275	1	0.4%
0.00179304	1	0.4%
0.00182139	1	0.4%
0.00191647	1	0.4%
0.00193323	1	0.4%
0.00205937	1	0.4%
0.00219584	1	0.4%

Value	Count	Frequency (%)
0.99998	3	1.3%
0.99997	7	3.0%
0.99996	2	0.8%
0.99995	4	1.7%
0.99994	10	4.2%
0.99993	16	6.8%
0.99992	4	1.7%
0.99991	8	3.4%
0.9999	6	2.5%
0.99989	15	6.4%

Auto

Heatmap
Table

	CLIENTNUM	Customer_Age	Dependent_count	Months_on_book	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2	Attrition_Flag	Gender	Education_Level	Marital_Status	Income_Category	Total_Relationship_Count
CLIENTNUM	1.000	-0.001	-0.144	0.090	-0.080	0.046	0.003	-0.141	0.016	0.088	0.062	0.100	0.028	-0.070	-0.023	0.023	0.000	0.137	0.000	0.000	0.072	0.105
Customer_Age	-0.001	1.000	-0.212	0.773	0.038	0.071	-0.014	-0.080	-0.013	0.066	-0.017	-0.099	-0.070	-0.006	0.098	-0.100	0.000	0.000	0.000	0.144	0.000	0.064
Dependent_count	-0.144	-0.212	1.000	-0.153	0.008	0.024	0.076	-0.053	0.081	0.058	0.146	0.084	0.031	-0.098	0.106	-0.102	0.039	0.000	0.065	0.000	0.040	0.000
Months_on_book	0.090	0.773	-0.153	1.000	0.074	0.074	-0.044	-0.116	-0.035	0.073	0.066	-0.035	-0.098	-0.004	0.110	-0.110	0.082	0.000	0.000	0.095	0.000	0.000
Months_Inactive_12_mon	-0.080	0.038	0.008	0.074	1.000	0.073	-0.032	-0.081	-0.023	0.027	-0.036	-0.079	-0.049	-0.018	0.540	-0.542	0.292	0.107	0.000	0.000	0.080	0.000
Contacts_Count_12_mon	0.046	0.071	0.024	0.074	0.073	1.000	-0.034	-0.142	-0.023	0.058	-0.156	-0.149	-0.064	-0.018	0.647	-0.648	0.175	0.000	0.080	0.000	0.000	0.119
Credit_Limit	0.003	-0.014	0.076	-0.044	-0.032	-0.034	1.000	-0.008	0.994	0.054	-0.001	-0.021	-0.076	-0.824	-0.063	0.060	0.157	0.286	0.023	0.080	0.182	0.000
Total_Revolving_Bal	-0.141	-0.080	-0.053	-0.116	-0.081	-0.142	-0.008	1.000	-0.101	0.017	0.138	0.187	0.095	0.503	-0.241	0.242	0.562	0.000	0.079	0.150	0.012	0.077
Avg_Open_To_Buy	0.016	-0.013	0.081	-0.035	-0.023	-0.023	0.994	-0.101	1.000	0.045	-0.019	-0.045	-0.092	-0.875	-0.034	0.032	0.000	0.269	0.000	0.122	0.150	0.040
Total_Amt_Chng_Q4_Q1	0.088	0.066	0.058	0.073	0.027	0.058	0.054	0.017	0.045	1.000	0.107	0.029	0.239	-0.019	0.087	-0.084	0.172	0.000	0.000	0.043	0.041	0.009
Total_Trans_Amt	0.062	-0.017	0.146	0.066	-0.036	-0.156	-0.001	0.138	-0.019	0.107	1.000	0.886	0.295	0.108	-0.284	0.286	0.430	0.000	0.070	0.000	0.000	0.238
Total_Trans_Ct	0.100	-0.099	0.084	-0.035	-0.079	-0.149	-0.021	0.187	-0.045	0.029	0.886	1.000	0.278	0.159	-0.386	0.386	0.577	0.000	0.000	0.017	0.047	0.172
Total_Ct_Chng_Q4_Q1	0.028	-0.070	0.031	-0.098	-0.049	-0.064	-0.076	0.095	-0.092	0.239	0.295	0.278	1.000	0.143	-0.208	0.208	0.373	0.000	0.000	0.000	0.035	0.000
Avg_Utilization_Ratio	-0.070	-0.006	-0.098	-0.004	-0.018	-0.018	-0.824	0.503	-0.875	-0.019	0.108	0.159	0.143	1.000	-0.112	0.114	0.469	0.169	0.127	0.159	0.070	0.136
Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	-0.023	0.098	0.106	0.110	0.540	0.647	-0.063	-0.241	-0.034	0.087	-0.284	-0.386	-0.208	-0.112	1.000	-0.999	0.987	0.000	0.000	0.129	0.074	0.186
Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2	0.023	-0.100	-0.102	-0.110	-0.542	-0.648	0.060	0.242	0.032	-0.084	0.286	0.386	0.208	0.114	-0.999	1.000	0.987	0.000	0.000	0.129	0.074	0.186
Attrition_Flag	0.000	0.000	0.039	0.082	0.292	0.175	0.157	0.562	0.000	0.172	0.430	0.577	0.373	0.469	0.987	0.987	1.000	0.000	0.000	0.129	0.074	0.186
Gender	0.137	0.000	0.000	0.000	0.107	0.000	0.286	0.000	0.269	0.000	0.000	0.000	0.000	0.169	0.000	0.000	0.000	1.000	0.000	0.000	0.812	0.000
Education_Level	0.000	0.000	0.065	0.000	0.000	0.080	0.023	0.079	0.000	0.000	0.070	0.000	0.000	0.127	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000
Marital_Status	0.000	0.144	0.000	0.095	0.000	0.000	0.080	0.150	0.122	0.043	0.000	0.017	0.000	0.159	0.129	0.129	0.129	0.000	0.000	1.000	0.000	0.048
Income_Category	0.072	0.000	0.040	0.000	0.080	0.000	0.182	0.012	0.150	0.041	0.000	0.047	0.035	0.070	0.074	0.074	0.074	0.812	0.000	0.000	1.000	0.000
Total_Relationship_Count	0.105	0.064	0.000	0.000	0.000	0.119	0.000	0.077	0.040	0.009	0.238	0.172	0.000	0.136	0.186	0.186	0.186	0.000	0.000	0.048	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	CLIENTNUM	Attrition_Flag	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
22	784725333	Existing Customer	41	M	3	High School	Married	$40K - $60K	Blue	33	4	2	1	4470.0	680	3790.0	1.608	931	18	1.571	0.152	0.000069	0.999930
38	715190283	Existing Customer	57	F	1	Graduate	Unknown	$40K - $60K	Blue	49	3	3	2	3672.0	886	2786.0	1.320	1464	28	0.556	0.241	0.000169	0.999830
58	711427458	Existing Customer	44	F	5	Graduate	Married	Unknown	Blue	35	4	1	2	6273.0	978	5295.0	2.275	1359	25	1.083	0.156	0.000057	0.999940
134	711402333	Existing Customer	47	M	2	Doctorate	Single	Less than $40K	Blue	37	2	1	3	3235.0	797	2438.0	0.541	1493	32	1.000	0.246	0.000134	0.999870
179	710829108	Existing Customer	59	F	1	Uneducated	Married	$40K - $60K	Blue	36	4	2	3	3356.0	985	2371.0	0.350	999	28	0.556	0.294	0.000185	0.999820
195	720476733	Existing Customer	47	F	3	High School	Married	Less than $40K	Blue	34	2	1	2	6028.0	799	5229.0	0.819	1002	22	0.571	0.133	0.000056	0.999940
258	714187533	Existing Customer	45	F	2	Uneducated	Single	$40K - $60K	Blue	35	2	3	0	3540.0	849	2691.0	0.456	1321	28	0.750	0.240	0.000068	0.999930
509	716223708	Attrited Customer	45	F	3	Uneducated	Single	Unknown	Blue	36	3	3	3	4028.0	710	3318.0	0.731	791	22	0.833	0.176	0.996910	0.003088
573	715416633	Existing Customer	54	M	1	Unknown	Married	$80K - $120K	Blue	36	4	1	2	6175.0	960	5215.0	0.709	1847	59	0.405	0.155	0.000057	0.999940
622	711628458	Existing Customer	45	F	3	Graduate	Married	Less than $40K	Blue	31	4	1	0	8829.0	901	7928.0	0.825	1902	45	0.667	0.102	0.000021	0.999980

	CLIENTNUM	Attrition_Flag	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
9875	718299933	Existing Customer	42	M	3	High School	Married	$40K - $60K	Blue	30	3	3	4	4333.0	739	3594.0	0.690	15903	100	0.754	0.171	0.000521	0.999480
9895	708880683	Existing Customer	49	M	5	College	Married	$40K - $60K	Blue	40	4	3	4	3970.0	892	3078.0	0.772	13697	102	0.759	0.225	0.000518	0.999480
9929	779082633	Existing Customer	30	M	2	Uneducated	Single	$60K - $80K	Blue	13	3	2	3	4107.0	979	3128.0	0.647	14596	104	0.733	0.238	0.000197	0.999800
9936	709977933	Attrited Customer	52	M	5	Uneducated	Married	$80K - $120K	Blue	44	2	3	4	9959.0	199	9760.0	1.003	8517	60	0.500	0.020	0.998180	0.001821
9993	719934783	Existing Customer	43	M	3	Doctorate	Married	$80K - $120K	Blue	27	4	2	2	3676.0	673	3003.0	0.629	14651	105	0.780	0.183	0.000171	0.999830
10037	789398733	Existing Customer	56	M	3	Graduate	Married	$120K +	Blue	46	3	3	2	5270.0	779	4491.0	0.731	16179	105	0.694	0.148	0.000187	0.999810
10041	767348733	Existing Customer	56	M	2	Unknown	Married	$60K - $80K	Blue	49	3	3	3	4058.0	793	3265.0	0.758	15865	105	0.667	0.195	0.000333	0.999670
10087	713768358	Existing Customer	45	M	4	Graduate	Single	$40K - $60K	Blue	35	3	2	2	7935.0	888	7047.0	0.779	15380	122	0.694	0.112	0.000119	0.999880
10099	709094358	Existing Customer	51	F	1	Graduate	Single	Less than $40K	Blue	41	4	2	3	8900.0	798	8102.0	0.647	16737	88	0.660	0.090	0.000180	0.999820
10121	713899383	Existing Customer	56	F	1	Graduate	Single	Less than $40K	Blue	50	4	1	4	3688.0	606	3082.0	0.570	14596	120	0.791	0.164	0.000148	0.999850

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Currency Symbol

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block